code: def generate_sample(self, base_target, std_val=0.1):
      target = base_target.float() / base_target.max()
      noise = std_val * torch.rand(1, 1, 6, 5).to(base_target.device)
      return target + noise
  
file_path: kornia/test/integration/test_focal.py
imports: import logging
  import pytest
  import torch
  import torch.nn.functional
  from torch import nn, optim
  import kornia
label_desc: Use image node_id 1 for calling the TestIntegrationFocalLoss obj's underlying member method code with example usage: obj.generate_sample(base_target, std_val) and returns: unknown